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Academic Catalog 2025-26

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Your search for courses · during 2023-24 · tagged with ENTS Quantitative Methods · returned 5 results

  • ENTS 120 Introduction to Geospatial Analysis & Lab 6 credits

    Spatial data analysis using Geographic Information Systems (GIS), remote sensing, global positioning, and related technologies are increasingly important for understanding and analyzing a wide range of biophysical, social, and economic phenomena. This course serves as an overview and introduction to the concepts, algorithms, issues, and methods in describing, analyzing, and modeling geospatial data over a range of application areas.

    • Fall 2023, Spring 2024
    • Quantitative Reasoning Encounter Social Inquiry
    • Dig Arts & Hum Skill Building Archaeology Pertinent
    • ENTS  120.52 Fall 2023

    • Faculty:Tsegaye Nega 🏫 👤
    • Size:12
    • M, WOlin 141 12:30pm-1:40pm
    • TOlin 206 1:00pm-5:00pm
    • FOlin 103 1:10pm-2:10pm
    • ENTS  120.53 Fall 2023

    • Faculty:Tsegaye Nega 🏫 👤
    • Size:12
    • M, WOlin 141 12:30pm-1:40pm
    • WOlin 206 2:00pm-6:00pm
    • FOlin 103 1:10pm-2:10pm
    • ENTS  120.52 Spring 2024

    • Faculty:John Berini 🏫 👤
    • Size:19
    • M, WHulings 316 11:10am-12:20pm
    • TCMC 110 1:00pm-5:00pm
    • FHulings 316 12:00pm-1:00pm
    • Sophomore priority

    • ENTS  120.53 Spring 2024

    • Faculty:John Berini 🏫 👤
    • Size:11
    • M, WHulings 316 11:10am-12:20pm
    • WCMC 110 1:00pm-5:00pm
    • FHulings 316 12:00pm-1:00pm
    • Sophomore Priority

  • MATH 240 Probability 6 credits

    Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.

    • Fall 2023, Winter 2024
    • Formal or Statistical Reasoning
    • Mathematics 120 or Mathematics 211

    • Math Electives Math Applied ENTS Quantitative Methods Statistics Required Core
    • MATH  240.01 Fall 2023

    • Faculty:Adam Loy 🏫 👤
    • Size:30
    • M, WCMC 306 8:30am-9:40am
    • FCMC 306 8:30am-9:30am
    • MATH  240.02 Fall 2023

    • Faculty:Adam Loy 🏫 👤
    • Size:30
    • M, WCMC 306 9:50am-11:00am
    • FCMC 306 9:40am-10:40am
    • MATH  240.00 Winter 2024

    • Faculty:Katie St. Clair 🏫 👤
    • Size:30
    • M, WCMC 306 8:30am-9:40am
    • FCMC 306 8:30am-9:30am
  • STAT 120 Introduction to Statistics 6 credits

    Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of the statistical software R, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 240/Statistics 250 Probability/Statistical Inference sequence.

    • Fall 2023, Winter 2024, Spring 2024
    • Formal or Statistical Reasoning Quantitative Reasoning Encounter
    • Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250

    • Dig Arts & Hum Skill Building ENTS Quantitative Methods
    • STAT  120.01 Fall 2023

    • Faculty: Staff
    • Size:32
    • M, WCMC 102 9:50am-11:00am
    • FCMC 102 9:40am-10:40am
    • STAT  120.02 Fall 2023

    • Faculty: Staff
    • Size:32
    • M, WCMC 102 11:10am-12:20pm
    • FCMC 102 12:00pm-1:00pm
    • STAT  120.03 Fall 2023

    • Faculty:Andy Poppick 🏫 👤
    • Size:32
    • M, WCMC 306 1:50pm-3:00pm
    • FCMC 306 2:20pm-3:20pm
    • STAT  120.01 Winter 2024

    • Faculty: Staff
    • Size:32
    • M, WCMC 102 11:10am-12:20pm
    • FCMC 102 12:00pm-1:00pm
    • STAT  120.02 Winter 2024

    • Faculty:Claire Kelling 🏫 👤
    • Size:32
    • M, WCMC 102 12:30pm-1:40pm
    • FCMC 102 1:10pm-2:10pm
    • Sophomore Priority

    • STAT  120.03 Winter 2024

    • Faculty:Claire Kelling 🏫 👤
    • Size:32
    • M, WCMC 102 1:50pm-3:00pm
    • FCMC 102 2:20pm-3:20pm
    • STAT  120.01 Spring 2024

    • Faculty:Katie St. Clair 🏫 👤
    • Size:32
    • M, WCMC 306 8:30am-9:40am
    • FCMC 306 8:30am-9:30am
    • STAT  120.02 Spring 2024

    • Faculty:Adam Loy 🏫 👤
    • Size:32
    • M, WCMC 306 11:10am-12:20pm
    • FCMC 306 12:00pm-1:00pm
    • Sophomore priority

    • STAT  120.03 Spring 2024

    • Faculty:Andy Poppick 🏫 👤
    • Size:32
    • M, WCMC 306 12:30pm-1:40pm
    • FCMC 306 1:10pm-2:10pm
    • Sophomore Priority

    • STAT  120.04 Spring 2024

    • Faculty: Staff
    • Size:32
    • M, WCMC 102 1:50pm-3:00pm
    • FCMC 102 2:20pm-3:20pm
  • STAT 230 Applied Regression Analysis 6 credits

    A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze real-life data.

    • Fall 2023, Winter 2024, Spring 2024
    • Formal or Statistical Reasoning Quantitative Reasoning Encounter
    • Statistics 120, Statistics 250, Psychology 200, or AP Statistics Exam score of 4 or 5.

    • ENTS Quantitative Methods Statistics Required Core
    • STAT  230.00 Fall 2023

    • Faculty:Claire Kelling 🏫 👤
    • Size:28
    • M, WCMC 306 11:10am-12:20pm
    • FCMC 306 12:00pm-1:00pm
    • STAT  230.00 Winter 2024

    • Faculty:Adam Loy 🏫 👤
    • Size:28
    • M, WCMC 306 1:50pm-3:00pm
    • FCMC 306 2:20pm-3:20pm
    • STAT  230.00 Spring 2024

    • Faculty:Andy Poppick 🏫 👤
    • Size:28
    • M, WCMC 102 9:50am-11:00am
    • FCMC 102 9:40am-10:40am
    • Sophomore priority

  • STAT 250 Introduction to Statistical Inference 6 credits

    Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets.

    • Winter 2024, Spring 2024
    • Formal or Statistical Reasoning Quantitative Reasoning Encounter
    • Mathematics 240 Probability

    • Dig Arts & Hum Skill Building Math Electives Math Applied ENTS Quantitative Methods Statistics Required Core
    • STAT  250.00 Winter 2024

    • Faculty:Andy Poppick 🏫 👤
    • Size:28
    • M, WCMC 306 11:10am-12:20pm
    • FCMC 306 12:00pm-1:00pm
    • STAT  250.00 Spring 2024

    • Faculty:Katie St. Clair 🏫 👤
    • Size:28
    • M, WCMC 306 9:50am-11:00am
    • FCMC 306 9:40am-10:40am

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2025–26 Academic Catalog

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Registrar: Theresa Rodriguez
Email: registrar@carleton.edu
Phone: 507-222-4094
Academic Catalog 2025-26 pages maintained by Maria Reverman
This page was last updated on 10 September 2025
Carleton

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507-222-4000

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